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AI
2000
Springer
13 years 7 months ago
A Lagrangian reconstruction of GENET
GENET is a heuristic repair algorithm which demonstrates impressive e ciency in solving some large-scale and hard instances of constraint satisfaction problems (CSPs). In this pap...
Kenneth M. F. Choi, Jimmy Ho-Man Lee, Peter J. Stu...
CEC
2007
IEEE
14 years 1 months ago
Towards an immune system that solves CSP
—Constraint satisfaction problems (CSPs) widely occur in artificial intelligence. In the last twenty years, many algorithms and heuristics were developed to solve CSP. Recently,...
María-Cristina Riff, Marcos Zú&ntild...
JAIR
2007
95views more  JAIR 2007»
13 years 7 months ago
Consistency and Random Constraint Satisfaction Models
In this paper, we study the possibility of designing non-trivial random CSP models by exploiting the intrinsic connection between structures and typical-case hardness. We show tha...
Yong Gao, Joseph C. Culberson
CPAIOR
2007
Springer
14 years 1 months ago
YIELDS: A Yet Improved Limited Discrepancy Search for CSPs
Abstract. In this paper, we introduce a Yet ImprovEd Limited Discrepancy Search (YIELDS), a complete algorithm for solving Constraint Satisfaction Problems. As indicated in its nam...
Wafa Karoui, Marie-José Huguet, Pierre Lope...
AAAI
1996
13 years 8 months ago
A Graph-Based Method for Improving GSAT
GSAT is a randomized greedy local repair procedure that was introduced for solving propositional satis ability and constraint satisfaction problems. We present an improvement to G...
Kalev Kask, Rina Dechter